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Job Description
Lead Data Solution Architects for various and unanticipated worksites throughout the US (HQ: Chicago, IL). Combine digital and marketing analytics and database knowledge to deliver customized and configurable analytic reporting to clients. Obtain, cleanse, and analyze the most relevant and valuable data to meet client requirements. Provide internal QA and configuration validation support, digital media trends research, and client training for the data and associated common analytics. Create effective and repeatable data analysis and visualizations. Design, execute, and deliver high quality, creative analytical solutions and visualizations. Create reusable software utilities that automate custom and standard services. Technical environment: Python, VBA, SQL, Big Data Analytics, Business Intelligence, Cloud Computing, DevOps, Machine Learning, Time Series Forecasting, Customer Segmentation, Data Exploration, Data Management, Data Wrangling, Data Processing, Data Manipulation, Data Scrapping, Data Mining, Exploratory Data Analysis, A/B Testing, Hypothesis Testing, ETL, Anaconda (Spyder, Jupyter), Tableau, Looker, HTML, Linux, Google (BigQuery), marketing analytics, marketing ecosystem, marketing campaign motivations.
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Job Requirements
Master's degree in Computer Science, Information Technology, or a related field plus 2 years of experience in Data Analytics required. Required Skills: Python, VBA, SQL, Big Data Analytics, Business Intelligence, Cloud Computing, DevOps, Machine Learning, Time Series Forecasting, Customer Segmentation, Data Exploration, Data Management, Data Wrangling, Data Processing, Data Manipulation, Data Scrapping, Data Mining, Exploratory Data Analysis, A/B Testing, Hypothesis Testing, ETL, Anaconda (Spyder, Jupyter), Tableau, Looker, HTML, Linux, Google (BigQuery), marketing analytics, marketing ecosystem, marketing campaign motivations. Telecommuting permitted. (Bachelor's degree in Computer Science, Information Technology, or a related field plus 5 years of progressive experience in Data Analytics also acceptable.)